AMD Radeon RX 470 Mobile
About GPU
The AMD Radeon RX 470 Mobile GPU is a powerful graphics card designed for gaming and content creation on the go. With a base clock speed of 926MHz and a boost clock speed of 1074MHz, this GPU offers smooth performance for demanding tasks. The 8GB of GDDR5 memory and a memory clock of 1750MHz ensure that it can handle high-resolution textures and complex renderings without breaking a sweat.
The 2048 shading units and 2MB of L2 cache enable the GPU to handle a wide range of graphics-intensive applications. Whether you're playing the latest AAA games or editing high-resolution videos, the Radeon RX 470 Mobile GPU delivers impressive performance.
With a TDP of 85W, this mobile GPU strikes a good balance between power efficiency and performance. It's capable of delivering a theoretical performance of 4.399 TFLOPS, making it suitable for demanding workloads.
Overall, the AMD Radeon RX 470 Mobile GPU is a solid choice for gamers and content creators who need a powerful graphics solution for their mobile devices. Its impressive specs and performance capabilities make it a standout option in the mobile GPU market. Whether you're gaming on the go or working on graphics-intensive projects, this GPU has the power to handle it all.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
August 2016
Model Name
Radeon RX 470 Mobile
Generation
Mobility Radeon
Base Clock
926MHz
Boost Clock
1074MHz
Bus Interface
MXM-B (3.0)
Memory Specifications
Memory Size
8GB
Memory Type
GDDR5
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
256bit
Memory Clock
1750MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
224.0 GB/s
Theoretical Performance
Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
34.37 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
137.5 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
4.399 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
274.9 GFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
4.311
TFLOPS
Miscellaneous
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
2048
L1 Cache
16 KB (per CU)
L2 Cache
2MB
TDP
85W
Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.2
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
4.311
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS